NDLI: Methodology for systematic analysis and improvement of manufacturing unit process life-cycle inventory (UPLCI)—CO$_{2}$PE! initiative (cooperative effort on process emissions in manufacturing). Part 1: Methodology description

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Methodology for systematic analysis and improvement of manufacturing unit process life-cycle inventory (UPLCI)—CO$_{2}$PE! initiative (cooperative effort on process emissions in manufacturing). Part 1: Methodology description

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Methodology for systematic analysis and improvement of manufacturing unit process life-cycle inventory (UPLCI)—CO$_{2}$PE! initiative (cooperative effort on process emissions in manufacturing). Part 1: Methodology description

Content Provider	Springer Nature Link
Author	Kellens, Karel Dewulf, Wim Overcash, Michael Hauschild, Michael Z. Duflou, Joost R.
Copyright Year	2011
Abstract	This report proposes a life-cycle analysis (LCA)-oriented methodology for systematic inventory analysis of the use phase of manufacturing unit processes providing unit process datasets to be used in life-cycle inventory (LCI) databases and libraries. The methodology has been developed in the framework of the CO$_{2}$PE! collaborative research programme (CO2PE! 2011a) and comprises two approaches with different levels of detail, respectively referred to as the screening approach and the in-depth approach.The screening approach relies on representative, publicly available data and engineering calculations for energy use, material loss, and identification of variables for improvement, while the in-depth approach is subdivided into four modules, including a time study, a power consumption study, a consumables study and an emissions study, in which all relevant process in- and outputs are measured and analysed in detail. The screening approach provides the first insight in the unit process and results in a set of approximate LCI data, which also serve to guide the more detailed and complete in-depth approach leading to more accurate LCI data as well as the identification of potential for energy and resource efficiency improvements of the manufacturing unit process. To ensure optimal reproducibility and applicability, documentation guidelines for data and metadata are included in both approaches. Guidance on definition of functional unit and reference flow as well as on determination of system boundaries specifies the generic goal and scope definition requirements according to ISO 14040 (2006) and ISO 14044 (2006).The proposed methodology aims at ensuring solid foundations for the provision of high-quality LCI data for the use phase of manufacturing unit processes. Envisaged usage encompasses the provision of high-quality data for LCA studies of products using these unit process datasets for the manufacturing processes, as well as the in-depth analysis of individual manufacturing unit processes.In addition, the accruing availability of data for a range of similar machines (same process, different suppliers and machine capacities) will allow the establishment of parametric emission and resource use estimation models for a more streamlined LCA of products including reliable manufacturing process data. Both approaches have already provided useful results in some initial case studies (Kellens et al. 2009; Duflou et al. (Int J Sustain Manufacturing 2:80–98, 2010); Santos et al. (J Clean Prod 19:356–364, 2011); UPLCI 2011; Kellens et al. 2011a) and the use will be illustrated by two case studies in Part 2 of this paper (Kellens et al. 2011b).
Starting Page	69
Ending Page	78
Page Count	10
File Format	PDF
ISSN	09483349
Journal	The International Journal of Life Cycle Assessment
Volume Number	17
Issue Number	1
e-ISSN	16147502
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-10-18
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	CO$_{2}$PE! Energy and resource efficiency Manufacturing process impact Methodology Process emission Unit process life-cycle inventory (UPLCI) Environmental Economics Environment
Content Type	Text
Resource Type	Article
Subject	Environmental Science

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